Neural network learning : theoretical foundations / Martin Anthony and Peter L. Bartlett
- Bib ID:
- 1327190
- Format:
- Book
- Author:
- Anthony, Martin
- Online Version:
- Table of contents
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- Publisher description
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- Description:
-
- Cambridge : Cambridge University Press, 1999
- xiv, 389p. ; 24 cm.
- ISBN:
- 052157353X (hardback)
- Full contents:
-
- 1. Introduction
- Pt. 1. Pattern Classification with Binary-Output Neural Networks. 2. The Pattern Classification Problem. 3. The Growth Function and VC-Dimension. 4. General Upper Bounds on Sample Complexity. 5. General Lower Bounds on Sample Complexity. 6. The VC-Dimension of Linear Threshold Networks. 7. Bounding the VC-Dimension using Geometric Techniques. 8. Vapnik-Chervonenkis Dimension Bounds for Neural Networks
- Pt. 2. Pattern Classification with Real-Output Networks. 9. Classification with Real-Valued Functions. 10. Covering Numbers and Uniform Convergence. 11. The Pseudo-Dimension and Fat-Shattering Dimension. 12. Bounding Covering Numbers with Dimensions. 13. The Sample Complexity of Classification Learning. 14. The Dimensions of Neural Networks. 15. Model Selection
- Pt. 3. Learning Real-Valued Functions. 16. Learning Classes of Real Functions. 17. Uniform Convergence Results for Real Function Classes. 18. Bounding Covering Numbers.
- 19. Sample Complexity of Learning Real Function Classes. 20. Convex Classes. 21. Other Learning Problems
- Pt. 4. Algorithmics. 22. Efficient Learning. 23. Learning as Optimization. 24. The Boolean Perceptron. 25. Hardness Results for Feed-Forward Networks. 26. Constructive Learning Algorithms for Two-Layer Networks.
- Notes:
- Includes bibliographical references and index.
- Subject:
- Neural networks (Computer science)
- Other authors/contributors:
- Bartlett, Peter L., 1966-
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 1999
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